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e-journal

Local Dependence in Latent Class Analysis of Rare and Sensitive Events

Marcus E. Berzofsky - Nama Orang; Paul P. Biemer - Nama Orang; William D. Kalsbeek - Nama Orang;

For survey methodologists, latent class analysis (LCA) is a powerful tool for assessing the measurement error in survey questions, evaluating survey methods, and estimating the bias in estimates of population prevalence. LCA can be used when gold standard measurements are not available and applied to essentially any set of indicators that meet certain criteria for identifiability. LCA offers quality inference, provided the key threat to model validity—namely, local dependence—can be appropriately addressed either in the study design or in the model-building process. Three potential causes threaten local independence: bivocality, behaviorally correlated error, and latent heterogeneity. In this article, these threats are examined separately to obtain insights regarding (a) questionnaire designs that reduce local dependence, (b) the effects of local dependence on parameter estimation, and (c) modeling strategies to mitigate these effects in statistical inference. The article focuses primarily on the analysis of rare and sensitivity outcomes and proposes a practical approach for diagnosing and mitigating model failures. The proposed approach is empirically tested using real data from a national survey of inmate sexual abuse where measurement errors are a serious concern. Our findings suggest that the proposed modeling strategy was successful in reducing local dependence bias in the estimates, but its success varied by the quality of the indicators available for analysis. With only three indicators, the biasing effects of local dependence can usually be reduced but not always to acceptable levels.

Keywords: National Inmate Survey (NIS), local dependence, correlated error, bivocality, latent heterogeneity, model misspecification, expeculation


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Informasi Detail
Judul Seri
Sociological Methods & Research
No. Panggil
-
Penerbit
New York : SAGE., 2014
Deskripsi Fisik
Sociological Methods & Research 2014, Vol 43(1) 137-170
Bahasa
English
ISBN/ISSN
DOI: 10.1177/0049124
Klasifikasi
-
Tipe Isi
-
Tipe Media
-
Tipe Pembawa
-
Edisi
2014, Vol 43(1)
Subjek
METODOLOGI PENELITIAN
Info Detail Spesifik
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Pernyataan Tanggungjawab
agus
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  • FULL TEXT: Local Dependence in Latent Class Analysis of Rare and Sensitive Events
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